I want to know the role of variables in the qualitative research design
Independent Variable: It is the variable presumed to affect the dependent variable. It is the variable manipulated by the researcher to create an effect on the dependent variable. It is also known as "the treatment."
Dependent Variable: The presumed effect that changes with a change in the independent variable. The "effect," "outcome," "response," or where one looks to see the influence of the independent variable.
Extraneous Variable: Variable other than the independent variable that may bear any effect on the behavior of the subject being studied: http://en.wikipedia.org/wiki/Extraneous_variable
Research Variable: May be used when the study is observing or measuring variables without looking at cause-effect relationships. May be used when there is no specific expectation of one variable influencing the other.
The variables' definitions do not change, only the design. And where you cannot QUANITFY the data, you QUALIFY it, describe it, find common major themes, and classify it.
Qualitative variables are variables that are used to categorize data based on characteristics or qualities, such as color, gender, or type of vehicle. They are non-numeric and are used to label or describe observations rather than measure them.
Nominal and ordinal variables are both qualitative or discrete variables. Nominal variables allow for only qualitative classification while an ordinal variable is a nominal variable, but its different states are ordered in a meaningful sequence.
In qualitative studies, variables are the concepts or factors that are being studied. These variables are often abstract and subjective in nature, such as beliefs, experiences, or feelings. Researchers aim to understand the relationship or connections between these variables through in-depth analysis and interpretation.
Quantitative research focuses on numerical data and statistical analysis to generalize findings to a larger population, while qualitative research concentrates on understanding human behavior and experiences through non-numerical data such as interviews, observations, and case studies. Quantitative research aims to measure the relationship between variables, while qualitative research seeks to explore phenomena in-depth to gain a deeper understanding.
The four main research methods are experimental research, correlational research, descriptive research, and qualitative research. Experimental research involves manipulating variables to test causal relationships, correlational research examines the relationship between variables without manipulating them, descriptive research aims to describe a phenomenon, and qualitative research explores underlying motivations, attitudes, and behaviors through methods such as interviews and observations.
In qualitative research, variables are typically not classified as independent or dependent as in quantitative research. Instead, qualitative research focuses on exploring complex phenomena through in-depth analysis of non-numerical data such as interviews, observations, and textual analysis. Researchers in qualitative studies aim to understand the relationships, meanings, and contexts within the data rather than test specific hypotheses with independent and dependent variables.
to quantify the qualitative variables.
yes
Qualitative and quanitative are two types of variables.
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
No, it is quantitative.
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
The most commonly used research design is the experimental design, where researchers manipulate one or more variables to observe their effect on an outcome. This design allows for causal relationships to be established between variables.
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
Qualitative variables are variables that are used to categorize data based on characteristics or qualities, such as color, gender, or type of vehicle. They are non-numeric and are used to label or describe observations rather than measure them.
A qualitative variable, also known as a categorical variable, refers to a type of variable that describes non-numeric characteristics or attributes. These variables can be divided into distinct categories based on qualitative traits, such as colors, names, or labels. For example, variables like gender, marital status, or types of cuisine are qualitative. Unlike quantitative variables, they do not have a numerical value or order.
Nominal and ordinal variables are both qualitative or discrete variables. Nominal variables allow for only qualitative classification while an ordinal variable is a nominal variable, but its different states are ordered in a meaningful sequence.